PyBrain for Lecturers

One of the main design goals for PyBrain is for it to be a library
that is suited to be used in the context of a machine learning course.
So far it has only been used for courses at the
Technische Universität München, but
you are welcome to use it for your courses as well. Almost all the
basic algorithms and principles of machine learning are implemented
and well-documented. PyBrain can be used, for example, for small
course assignments or larger student projects. More advanced courses
are supported as well, by a large number of implementations of
state-of-the-art algorithms, some at the bleeding edge of research.

If you use PyBrain for your course and write extensions or interesting
examples using it, we'd appreciate if you could contribute them to the
project via the Developer Group
so that they can be distributed with future versions.